Lifeboat Foundation

“Less than one”-shot learning can teach a model to identify more objects than the number of examples it is trained on.

China’s Chang’e 4 moon mission received a prestigious international award just as the two spacecraft that make up the project awoke for their 23rd lunar day.

:oooooo.

The Israeli Beewise hopes to replace the old hives and make them smarter so that bees can be monitored remotely and treated without human contact.

Re-Imagining Prisons — with AI, VR, and Digitalization.

Ira Pastor, ideaXme life sciences ambassador, interviews Ms Pia Puolakka, Project Manager of the Smart Prison Project, under the Criminal Sanctions Agency, within Finland’s Central Administration Unit.

Continue reading “Smart Prisons: Managing and Rehabilitating Prisoners with Psychology, Empathy and AI” »

Fabrics are key materials for a variety of applications that require flexibility, breathability, small storage footprint, and low weight. While fabrics are conventionally passive materials with static properties, emerging technologies have provided many flexible materials that can respond to external stimuli for actuation, structural control, and sensing. Here, we improve upon and process these responsive materials into functional fibers that we integrate into everyday fabrics and demonstrate as fabric-based robots that move, support loads, and allow closed-loop controls, all while retaining the desirable qualities of fabric. Robotic fabrics present a means to create smart adaptable clothing, self-deployable shelters, and lightweight shape-changing machinery.

Fabrics are ubiquitous materials that have conventionally been passive assemblies of interlacing, inactive fibers. However, the recent emergence of active fibers with actuation, sensing, and structural capabilities provides the opportunity to impart robotic function into fabric substrates. Here we present an implementation of robotic fabrics by integrating functional fibers into conventional fabrics using typical textile manufacturing techniques. We introduce a set of actuating and variable-stiffness fibers, as well as printable in-fabric sensors, which allows for robotic closed-loop control of everyday fabrics while remaining lightweight and maintaining breathability. Finally, we demonstrate the utility of robotic fabrics through their application to an active wearable tourniquet, a transforming and load-bearing deployable structure, and an untethered, self-stowing airfoil.

Intensity shot noise in digital holograms distorts the quality of the phase images after phase retrieval, limiting the usefulness of quantitative phase microscopy (QPM) systems in long term live cell imaging. In this paper, we devise a hologram-to-hologram neural network, Holo-UNet, that restores high quality digital holograms under high shot noise conditions (sub-mW/cm2 intensities) at high acquisition rates (sub-milliseconds). In comparison to current phase recovery methods, Holo-UNet denoises the recorded hologram, and so prevents shot noise from propagating through the phase retrieval step that in turn adversely affects phase and intensity images. Holo-UNet was tested on 2 independent QPM systems without any adjustment to the hardware setting. In both cases, Holo-UNet outperformed existing phase recovery and block-matching techniques by ∼ 1.8 folds in phase fidelity as measured by SSIM. Holo-UNet is immediately applicable to a wide range of other high-speed interferometric phase imaging techniques. The network paves the way towards the expansion of high-speed low light QPM biological imaging with minimal dependence on hardware constraints.

Seven performers selected to pursue novel USV concepts and enabling technologies.

DARPA has awarded seven contracts for work on Phase 1 of the NOMARS program, which seeks to simultaneously explore two competing objectives related to unmanned surface vessels (USV) ship design: the maximization of seaframe performance when human constraints are removed; and achieving sufficient vessel maintenance and logistics functionality for long endurance operations with no human crew onboard. NOMARS aims to disrupt conventional naval architecture designs through creative trade space explorations that optimize useable onboard room considering a variety of constraints. This should pave the way for more capable, affordable small warships that can be procured and maintained in large numbers.

Autonomous Surface Vehicles, LLC, Gibbs & Cox Inc., and Serco Inc. received Phase 1 Track A awards, and will work toward developing novel NOMARS demonstrator conceptual designs. These awards will focus on maximizing vessel performance gain across new design criteria, with potential considerations to include: unusual hull forms, low freeboard, minimizing air-filled volumes, innovative materials, repurposing or eliminating “human space” exploring distributed system designs, and developing architectures optimized for depot-maintenance.

Continue reading “The No Manning Required Ship (NOMARS) Program kicks off trade space analysis and conceptual design for long-endurance Unmanned Surface Vessels (USV)” »

RACER to focus on new autonomy algorithm technologies.

NASA developed the Artemis Accords to partner with other nations to set basic principles to guide robotic and crewed lunar exploration.

Eight nations have signed on to become founding members of NASA’s Artemis Accords, an international agreement that establishes how countries can cooperate to peacefully and responsibly conduct exploration of the moon.

NASA announced Tuesday that the United States signed the accords, together with Australia, Canada, Italy, Japan, Luxembourg, the United Arab Emirates and the United Kingdom. NASA Administrator Jim Bridenstine said the agreement would establish a “singular global coalition” to guide future expeditions to the moon.

Continue reading “Eight nations sign NASA-led Artemis Accords to guide moon exploration” »